N. Okamoto

1.1k citations
44 papers · 854 · h-index 15

Impact in

Papers in

    • Aquaculture disease management and microbiota 26
    • CRISPR and Genetic Engineering 6
    • Identification and Quantification in Food 4

N. Okamoto

43 papers receiving 776 citations

Peers

N. Okamoto
Comparison fields: 5 of 62
  • Aquatic Science 311
  • Immunology 507
  • Animal Science and Zoology 180
  • Physiology 63
  • Genetics 266
Replace K. Thorud with:
K. Thorud Norway
Ilgiz Irnazarow Poland
A. R. Thirunavukkarasu India
Gilles Breuil France
Mark Henryon Denmark
Xing Ye China
Pierpaolo Patarnello Italy
Kjersti T. Fjalestad Norway
Almas Gheyas United Kingdom
R. S. Raynard United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by N. Okamoto

Since Specialization
Citations

This map shows the geographic impact of N. Okamoto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by N. Okamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Okamoto more than expected).

Fields of papers citing papers by N. Okamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Okamoto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by N. Okamoto. The network helps show where N. Okamoto may publish in the future.

Co-authors

The 25 scholars most cited alongside N. Okamoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N. Okamoto Line = papers co-authored together N. Okamoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000155
2 2003139
3 198367
4
Studies on viral diseases of Japanese fishes. VI. Infectious hematopoietic necrosis (IHN) of salmonids in the mainland of Japan.
197741
5 200138
6 198134
7 199433
8 199232
9
Yamame tumor virus: lethality and oncogenicity.
198331
10 199431
11
Breeding for disease resistance in fish
200227
12 198326
13 199221
14 199920
15 199416
16 200314
17 199414
18 199814
19
Nephroblastomas in the Japanese eel, Anguilla japonica Temminck and Schlegel.
199214
20 200210

About N. Okamoto

N. Okamoto is a scholar working on Immunology, Molecular Biology, Aquatic Science, Genetics and Animal Science and Zoology, having authored 44 papers that have together received 854 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (26 papers), Aquaculture Nutrition and Growth (11 papers), Animal Genetics and Reproduction (7 papers), CRISPR and Genetic Engineering (6 papers), Animal Virus Infections Studies (6 papers), Genetic diversity and population structure (5 papers), Genetic and phenotypic traits in livestock (5 papers) and Identification and Quantification in Food (4 papers). The work is most often cited by research in Aquatic Science (311 citations), Immunology (507 citations), Animal Science and Zoology (180 citations), Physiology (63 citations) and Genetics (266 citations). N. Okamoto has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Tokuo SANO, Takashi Sakamoto, Akiyuki Ozaki, Kazutaka Nakamura, Sok Kean Khoo, Maria Raquel Moura Coimbra, Ronald P. Hedrick, J. L. Fryer, Shuichi Satoh and Viswanath Kiron. Their work appears in journals such as Journal of Fish Diseases, Journal of Animal Science, Animal Genetics, Fish & Shellfish Immunology and Journal of Fish Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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